Round 156

Round UUID: 51a07f29-e223-43b3-8b6a-f50fbb09f626

Prompt:

You are evaluating temporal anomaly cases for approval or denial based on TimelineDeviation and ParadoxCount metrics.

Apply these rules in order:

1. If ParadoxCount < 3.5, predict DENIED (low paradox tolerance threshold)

2. If ParadoxCount >= 3.5 AND TimelineDeviation >= 10.0, predict APPROVED (sufficient paradox tolerance with adequate timeline deviation)

3. If ParadoxCount >= 5.0 AND TimelineDeviation >= 8.0, predict APPROVED (high paradox tolerance compensates for lower timeline deviation)

4. Otherwise, predict DENIED

Respond with only "APPROVED" or "DENIED".

• Inferences: 200
• Created: 2025-06-25 06:07:59.875096+00:00
• First inference: 2025-07-03 22:45:04.726168+00:00
• Last inference: 2025-08-01 03:57:39.900320+00:00
• Completed: yes
• Train accuracy: 0.00625 (KT 2.060)
• Validation accuracy: 0.0 (KT 2.604)
• Test accuracy: 0.0 (KT 2.604)